This replication file generates the results reported in: Tyler Girard, "Bank Accounts for All: How do State Policies Matter?",
Journal of International Development.

The RData and R scripts will generate the results reported in each table (Main 1:4 and Appendix 1:4). The files included are:

Main Table 1:
Main1_TotalPop_AllCountries.R
Main1_TotalPop_AllCountries_MI.RData

Main Table 2:
Main2_TotalPop_PartialCountries.R
Main2_TotalPop_PartialCountries_MI.RData

Main Table 3:
Main3_RuralPop_AllCountries.R
Main3_RuralPop_AllCountries_MI.RData

Main Table 4:
Main4_RuralPop_PartialCountries.R
Main4_RuralPop_PartialCountries_MI.RData

Appendix Table 1:
Appendix1_WomenPop_AllCountries.R
Appendix1_WomenPop_AllCountries_MI.RData

Appendix Table 2:
Appendix2_WomenPop_PartialCountries.R
Appendix2_WomenPop_PartialCountries_MI.RData

Appendix Table 3:
Appendix3_PoorPop_AllCountries.R
Appendix3_PoorPop_AllCountries_MI.RData

Appendix Table 4:
Appendix4_PoorPop_PartialCountries.R
Appendix4_PoorPop_PartialCountries_MI.RData

Due to commercial restrictions on the Banks and Wilson (2017) "Cross-National Time-Series Data Archive", the replication data for each table includes
the 50 multiply imputed datasets but excludes the CNTS variables used in the multiple imputation, as well as the "pct_literate" variable used in Model 4
(in each table). The remaining variables are provided in their original form in the file "ReplicationData_JOID_BankAccountsForAll.xlsx".

If you are able to acquire access to the Banks and Wilson (2017) data, the full list of variables included in the multiple imputation are:

"country", "score", "newscore", "inflation", "popden", "cellsub", "employ", "gdp", "acct", "acct.f", "acct.40", "acct.r", "nodw", "depinyr", "dep0", "dep12",
"dep3", "wtdinyr", "wtd0", "wtd12", "wtd3", "StateName", "area_km2", "area_mi2", "inet_hosts", "inet_hosts_pc", "inet_usrs", "inet_users_pc", "pop_pct_inc",
"popdens_pct_inc", "imports_pc_pct_inc", "exports_pc_pct_inc", "phones_pc_pct_inc", "prim_sch_pct_inc", "gdppc_pct_inc", "gnppc_pct_inc", "assassinations",
"strikes", "guerrilla", "gov_crises", "purges", "riots", "revols", "agdems", "conflictindex", "gdppc_fc", "gdppc_mp", "exchange_us_off", "enprod_mtcoal",
"enprod_kgcoal_pc", "encons_mtcoal", "encons_kgcoal_pc", "elec_prod_kwh", "elec_prod_kwh_pc", "steel_prod", "steel_prod_pc", "pct_industry_gdp",
"pc_industry_gdp", "nseats_largest_party_leg", "nseats_leg", "party_coalitions", "party_legit", "pct_seats_largest_party", "composite_index", "all_phones",
"mobile_phones", "phones_no_cell", "phones_no_cell_pc", "mobile_phones_pc", "all_phones_pc", "people_per_dr", "drs_pc", "regime_type", "num_coups",
"num_maj_const_changes", "head_state", "premier", "eff_exec_type", "eff_exec_sel", "parl_resp", "size_cab", "num_cab_changes", "eff_exec_changes", "leg_eff",
"leg_sel", "num_leg_elecs", "pop", "popdens", "nat_gov_rev_exp", "nat_gov_rev_exp_pc", "nat_gov_rev", "nat_gov_rev_pc", "nat_gov_expend",
"nat_gov_expend_pc", "nat_def_expnd_pct_nat_gov_rev", "primsch_enroll", "primsch_enroll_pc", "secsch_enroll", "secsch_enroll_pc", "primsec_enroll",
"primsec_enroll_pc", "pct_prim_primsec_enroll", "univ_enroll", "univ_enroll_pc", "all_sch_enroll", "all_sch_enroll_pc", "pct_literate", "imports", "imports_pc",
"exports", "exports_pc", "prop_world_trade"

Details about how the multiple imputation was conducted are described in the main manuscript. Using the MICE package and random forest regression trees, a
total of 50 complete datasets were produced. Models were estimated on each dataset and aggregated using Rubin's rules to compute an overall estimate for
each parameter in each model.

Contact Information:
Tyler Girard
tgirard2@uwo.ca

March 27, 2020
